Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. Problem with too many snapshots Everytime a write operation occurs on an Iceberg table, a new snapshot is created.

Strategy 56

Strategy Optimization Snapshot Metadata 56

Cloudera

FEBRUARY 8, 2024

Subsequently, these snapshot IDs are used to determine the delta changes that should be applied to the materialized view rows. Incremental and full rebuild of materialized view We will insert rows into the base table and examine how the materialized view can be updated to reflect the new data.

Snapshot 88

Snapshot Metadata Cost-Benefit Data Warehouse 88

Cloudera

APRIL 3, 2023

Every table change creates an Iceberg snapshot, this helps to resolve concurrency issues and allows readers to scan a stable table state every time. During queries the query engines scan both the data files and delete files belonging to the same snapshot and merge them together (i.e. ID, TBL_ICEBERG_PART_2.NAME,

Data Warehouse 79

Data Warehouse Snapshot Metadata Cost-Benefit 79

Cloudera

DECEMBER 15, 2022

Improve performance and overall manageability of Iceberg tables using the new table maintenance capabilities such as expiring old snapshots and removing their metadata, and compaction to combine small files for more efficient data processing. Read why the future of data lakehouses is open. ORC open file format support.

Metadata 76

Metadata Data Warehouse Snapshot Data Quality 76